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Academic Publishing Pricing Model Data
Data Science and Analytics
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About
Presents detailed information regarding subscriptions to economics journals held by US libraries during the year 2000. This collection of data was assembled specifically for the purpose of analysing the pricing structures of scholarly journals within the field of economics. It includes metrics vital for studying the factors that influence journal costs and library acquisition decisions.
Columns
- title: The specific title of the economics journal.
- publisher: Categorical listing of the publishing entity responsible for the journal.
- society: A Boolean indicator showing whether the journal is published by a scholarly society.
- price: The subscription price charged to the library.
- pages: The total number of pages published in the journal.
- charpp: The number of characters contained per page, useful for density analysis.
- citations: The aggregated total number of citations associated with the journal.
- foundingyear: The historical year in which the journal was established, with years ranging from 1844 to 1996.
- subs: The quantifiable number of library subscriptions maintained for the journal.
- field: A categorical description identifying the subject field or specialization area of the journal (e.g., General, Specialized).
Distribution
The structure is that of a data frame containing 180 individual observations (records) across 10 distinct variables. The data is typically supplied in a tabular format, such as CSV. All listed variables contain valid records, with no mismatched or missing values detected across the 180 observations. The file size is approximately 17.47 kB.
Usage
This data is ideal for research focused on academic publishing economics, particularly econometric modelling related to journal pricing. It can be utilised to explore relationships between factors like journal age, citation counts, publishing society status, and subscription price versus the resulting number of library subscriptions. Researchers can fit linear models or conduct advanced structural change tests, such as breakpoint analysis, using these metrics.
Coverage
The dataset focuses exclusively on subscription activities and journal characteristics collected from US libraries. The temporal scope of the subscription and pricing figures is fixed to the year 2000. It covers 180 distinct economic journals.
License
CC0: Public Domain
Who Can Use It
The data is useful for academic researchers and students studying econometrics, statistics, and social sciences, especially those interested in journal market dynamics and pricing elasticity. University administrators or library purchasing committees may also use the data for benchmarking and optimising resource allocation related to journal acquisitions.
Dataset Name Suggestions
- US Economics Journal Pricing 2000
- Scholarly Journal Subscription Metrics
- Economics Journal Characteristics and Subscriptions
- Academic Publishing Pricing Model Data
Attributes
Original Data Source: Academic Publishing Pricing Model Data
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